Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study. Giggins, O. M., Sweeney, K. T., & Caulfield, B. Journal of NeuroEngineering and Rehabilitation, 11(1):158, November, 2014.
Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study [link]Paper  doi  abstract   bibtex   
Accurate assessments of adherence and exercise performance are required in order to ensure that patients adhere to and perform their rehabilitation exercises correctly within the home environment. Inertial sensors have previously been advocated as a means of achieving these requirements, by using them as an input to an exercise biofeedback system. This research sought to investigate whether inertial sensors, and in particular a single sensor, can accurately classify exercise performance in patients performing lower limb exercises for rehabilitation purposes.
@article{giggins_rehabilitation_2014,
	title = {Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study},
	volume = {11},
	issn = {1743-0003},
	shorttitle = {Rehabilitation exercise assessment using inertial sensors},
	url = {https://doi.org/10.1186/1743-0003-11-158},
	doi = {10.1186/1743-0003-11-158},
	abstract = {Accurate assessments of adherence and exercise performance are required in order to ensure that patients adhere to and perform their rehabilitation exercises correctly within the home environment. Inertial sensors have previously been advocated as a means of achieving these requirements, by using them as an input to an exercise biofeedback system. This research sought to investigate whether inertial sensors, and in particular a single sensor, can accurately classify exercise performance in patients performing lower limb exercises for rehabilitation purposes.},
	number = {1},
	urldate = {2019-02-12},
	journal = {Journal of NeuroEngineering and Rehabilitation},
	author = {Giggins, Oonagh M. and Sweeney, Kevin T. and Caulfield, Brian},
	month = nov,
	year = {2014},
	keywords = {Anzahl Sensoren},
	pages = {158}
}

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